what do marc, rdf, and owl have in common?
TRANSCRIPT
Northwestern University Feinberg School of Medicine
What do MARC, RDF, and OWL have in common? Violeta Ilik Head, Digital Systems & Collection Services Galter Health Sciences Library
Program for Cooperative Cataloging (PCC) Participants Meeting - ALA 2015, San Francisco, June 28, 2015
Catalogers and MARC
Violeta Ilik ALA PCC Participants Meeting, June 28, 2015
San Francisco
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MARC record
Feels like home! • You know the rules,
• You know all the intricacies
Catalogers and XML, XSLT, namespaces, MarcEdit …
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San Francisco
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Feels like home? • Do you know the rules?
• Do you know all the intricacies?
MARCXML, Dublin Core XML, BIBFRAME (JSON)
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Catalogers and repository metadata Should feel like home!
• Descriptive, administrative and structural metadata
• Use of established controlled vocabularies
• Use of institutional databases – campus directory
• Use of established standards (date, language)
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San Francisco
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Fedora/Sufia Repository record
OWL and RDF ”ontology is an explicit representation of conceptualization" Gruber, 1993
“RDF is a standard model for data interchange on the Web.” w3c.org/RDF/
Catalogers and repository metadata Should feel like home!
• Descriptive, administrative and structural metadata
• Use of established controlled vocabularies
• Use of university databases – campus directory
• Use of established standards (date, language)
• Using ontologies
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San Francisco
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Exis%ng op%ons for resource type in Fedora/Sufia
Protégé - understanding ontologies According to Crofts, Le Boef, and Artur (2002):
• An ontology is a formal representation which aims to be precise, explicit and unambiguous
• The ontology describes the entities and concepts relevant to a particular domain
• An ontology embodies a particular view of a domain - the same domain may be described in different ways by different ontologies.
Violeta Ilik
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Catalogers and repository metadata Should feel like home!
• Descriptive, administrative and structural metadata
• Use of established controlled vocabularies
• Use of university databases – campus directory
• Use of established standards (date, language)
• Using ontologies • Creating RDF data
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San Francisco
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Fedora/Sufia Repository record
RDF for VIVO: from CSV to RDF via Karma
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N-Triples – VIVO compliant data
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Library ecosystem
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We want to optimize discoverability and dissemination of content and enhance the impact of FSM, NUCATS, and our
Northwestern Medicine community.
Other projects led by Digital Systems & Collection Services
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Symplectic Elements • Back-end bibliometric aggregator • Support OA with repository integration • Facilitates reports and reuse of clean aggregated data from a
number of diverse sources
Violeta Ilik ALA PCC Participants Meeting, June 28, 2015
San Francisco
Symplectic elements
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Symplectic Elements
data & platform
Evaluation and reporting
Digital Asset Management System (IR)
Tasks (biosketches,
etc.)
Research Information
Systems
Connect outputs with
grants for ROI
Violeta Ilik ALA PCC Participants Meeting, June 28, 2015
San Francisco
Holmes, K. 2015. Linked Data Love: research representation, discovery, and assessment. ALCTS/LITA Linked Library Data Interest Group. American Library Association Annual Meeting, San Francisco June 27, 2015
Modeling Symplectic elements’ publications
data
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Projects to which we contribute: VIVO @ Northwestern FSM
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Projects to which we contribute: VIVO @ Northwestern FSM
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Data modeling using the Karma data integration tool R2RML (W3C standard) models that can be re-applied to same data source (CSV export files from data stores) Ontology development
What do MARC, OWL, and RDF have in common? • They all need a cataloger, or in other words –
one honest trouble maker
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Northwestern University Feinberg School of Medicine
Thank you
Violeta Ilik vivoweb.org